francescochecchi/aden_covid

Checchi, F

(2020). francescochecchi/aden_covid. [Dataset]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://github.com/francescochecchi/aden_covid

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Estimates of COVID-19 attributable mortality in Aden governorate, Yemen: a geospatial and statistical analysis. All datasets required to replicate the analysis are included in the file <aden_covid_data.xlsx>. The file includes a ‘dictionary’ tab, whose column ‘use’ determines which variables are read into R analysis (below). Only variables marked as ‘yes’ for this column are necessary to replicate the analysis.

Additional Information

Pre-print was made available in January 2021. This record will be updated when the paper has been peer-reviewed

Keywords

COVID-19, Coronavirus, SARS-CoV-2, Yemen, Aden, Mortality, Burden, Satellite, Geospatial, Remote sensing, Graveyard, Cemetery, Burial

Item Type	Dataset
Capture method	Content Coding: Qualitative data converted into quantitative
Collection Period	From To April 2020 September 2020
Date	28 October 2020
Language(s) of written materials	English
Creator(s)	Checchi, F
LSHTM Faculty/Department	Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023)
Participating Institutions	London School of Hygiene & Tropical Medicine, London, United Kingdom, Satellite Applications Catapult, Electron Building, Didcot, United Kingdom, Hadhramout University, Hadhramout, Yemen, University of North Carolina, Chapel Hill, NC, United States of America
Funders	Project Funder Grant Number Funder URI UNSPECIFIED UK Aid UNSPECIFIED https://www.ukaiddirect.org/
Date Deposited	27 Jan 2021 14:58
Last Modified	08 Jul 2021 12:48
Publisher	London School of Hygiene & Tropical Medicine